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NCT06257381Recruiting

Maximal Oxygen Uptake (VO2max) in Patients With COPD

Maximal Oxygen Uptake (VO2max) in Patients With COPD: a Test-Retest Reliability Study
Rigshospitalet, DenmarkClinicalTrials.govother
Study focus
Disease/Condition
COPD
Drug/Device/Intervention
VO2max
Study type
Observational
Intervention type
other
Sponsor & location
Primary sponsor
Rigshospitalet, Denmark
Location
Copenhagen, Denmark
Timeline & enrollment
Phase
N/A
Start date
Feb 05, 2024
End date
Oct 01, 2024
Enrollment
32 participants
Primary outcome

Between-day smallest real difference (SRD) for VO2 peak in COPD vs. healthy controls,Between-day coefficient of variance (CV) for VO2 peak in COPD vs. healthy controls (co-primary)

Summary

Patients with chronic obstructive pulmonary disease (COPD), facing a decline in lung function
 and compromised quality of life, often benefit from regular exercise (1). Assessing their
 cardiorespiratory fitness through maximal oxygen uptake (VO2max) is crucial (2), yet research
 on its validity and reliability in COPD patients remains sparse. This study aims to fill this
 gap, examining the content validity and test-retest reliability of the VO2-max test in COPD,
 comparing it with healthy controls.

ICD-10 classifications
Chronic obstructive pulmonary disease, unspecifiedOther chronic obstructive pulmonary diseaseOther specified chronic obstructive pulmonary diseaseChronic obstructive pulmonary disease with acute exacerbation, unspecifiedPulmonary heart disease, unspecified
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06257381
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06257381 through Pure Global AI's free database. This phase not specified trial is sponsored by Rigshospitalet, Denmark and is currently Recruiting. The study focuses on COPD. Target enrollment is 32 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.